🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has an unknown author and low repository activity, raising concerns about its legitimacy and maintenance. Although network and shell risks are relatively low, these factors combined with metadata risk suggest caution.

Unknown author
Low repository activity

Per-check LLM notes

Network: Network calls are likely for package updates or dependency checks, but should be reviewed for unexpected destinations.
Shell: No shell execution patterns detected.
Metadata: The package shows some red flags such as an unknown author and low activity in the git repository, but there's no clear evidence of malicious intent.

📦 Package Quality Overall: Medium (6.6/10)

✦ High Test Suite 9.0

Test suite present — 1 test file(s) found

Test runner config found: pyproject.toml
1 test file(s) detected (e.g. test_setup.py)

◈ Medium Documentation 7.0

Some documentation present

Documentation URL: "Documentation" -> https://github.com/AllocContext/alloc-context/blob/main/docs
Detailed PyPI description (7293 chars)

○ Low Contributing Guide 4.0

No contributing guide or governance files found

Development Status classifier >= Beta

◈ Medium Type Annotations 5.0

Partial type annotation coverage

318 type-annotated function signatures detected in source

✦ High Multiple Contributors 8.0

Active multi-contributor project

3 unique contributor(s) across 100 commits in AllocContext/alloc-context
Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 7.5

Found 5 network call pattern(s)

_BASE}/{index}" request = urllib.request.Request(url, headers={"User-Agent": _USER_AGENT}) try:
AGENT}) try: with urllib.request.urlopen(request, timeout=timeout) as response: h
= 20.0) -> Any: request = urllib.request.Request( url, headers={"User-Agent": "alloc-
method="GET", ) with urllib.request.urlopen(request, timeout=timeout) as response: retur
float) -> Any: request = urllib.request.Request( url, headers={ "User-Ag

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

ed).digest() secret = base64.b64decode(api_secret) digest = hmac.new(secret, message, hashl

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

Repository has zero stars and zero forks

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author name is missing or very short
Author "" appears to have only 1 package on PyPI (new or inactive account)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with alloc-context

Develop a cryptocurrency portfolio management tool using the Python package 'alloc-context'. This tool will help users track their investments across different exchanges (CEX) and wallets, provide real-time market data scoped to their specific holdings, and offer optional allocation analysis to optimize their investment strategy.

### Project Scope:
1. **User Authentication & Data Input**: Users should be able to securely log in and input their cryptocurrency holdings from various exchanges and wallets.
2. **Real-Time Market Data**: Integrate real-time market data specific to the user's holdings, ensuring that the information is up-to-date and relevant.
3. **Portfolio Overview**: Provide a comprehensive overview of the user's portfolio, including total value, asset distribution, and recent performance.
4. **Allocation Analysis**: Offer insights into potential improvements in allocation based on current market conditions and historical data.
5. **Alert System**: Implement an alert system that notifies users of significant changes in the value of their assets or when market conditions suggest a strategic shift.

### Key Features:
- **Secure Login**: Use OAuth2 for secure user authentication.
- **Data Aggregation**: Automatically aggregate data from multiple sources (exchanges, wallets).
- **Customizable Dashboard**: Allow users to customize their dashboard to focus on specific metrics or assets.
- **Market Insights**: Provide detailed market insights and trends related to the user's holdings.
- **Optimization Suggestions**: Generate recommendations for optimizing portfolio allocation based on current market conditions.

### Utilizing 'alloc-context':
- **Portfolio Tracking**: Use 'alloc-context' to manage and track the user's portfolio across different contexts (exchanges, wallets).
- **Market Data Scoping**: Leverage the package's ability to scope market data to specific holdings, ensuring that users receive relevant and actionable information.
- **Advanced Allocation Analysis**: Optionally, use 'alloc-context' for deeper analysis of portfolio allocations, offering suggestions for improvement.
- **Integration with External APIs**: Ensure seamless integration with external APIs for market data and other functionalities.

### Development Steps:
1. Set up the project environment and install necessary packages, including 'alloc-context'.
2. Design the database schema to store user data and portfolio information.
3. Develop the backend logic to handle user authentication, data aggregation, and API integrations.
4. Create the frontend interface for user interaction, focusing on usability and visual appeal.
5. Test the application thoroughly, paying special attention to security and performance.
6. Deploy the application to a cloud platform for public access.
7. Gather feedback from users and iterate on the design and functionality.

This project aims to create a powerful yet user-friendly tool for managing cryptocurrency portfolios, leveraging the advanced features of 'alloc-context' to provide valuable insights and optimization suggestions.